Sr. Content Designer

📍 Job Overview

Job Title: Sr. Content Designer

Company: 6sense

Location: Bengaluru, Karnataka, India | Pune, Maharashtra, India

Job Type: Full-Time

Category: Product Design / UX Content

Date Posted: 2026-09-30

Experience Level: Senior (5+ years)

Remote Status: On-site

🚀 Role Summary

• This role is pivotal in shaping user experiences through precise and effective language, particularly within AI-driven and conversational interfaces.

• The Sr. Content Designer will lead end-to-end content design initiatives, collaborating closely with Product, Design, Research, and AI/ML teams.

• A key focus will be on designing and refining conversational flows, user prompts, and system instructions for AI assistants and generative AI features.

• The position requires a strong systems-thinking approach to build scalable content patterns and a unified voice and tone across static UI and dynamic AI content.

📝 Enhancement Note: While the title is "Sr. Content Designer," the emphasis on conversational AI, prompt engineering, and AI/ML collaboration suggests a specialized role within the broader UX content field, aligning closely with emerging trends in AI product development. The requirement for B2B SaaS and Martech experience indicates a focus on enterprise solutions.

📈 Primary Responsibilities

• Lead the end-to-end content design process for assigned product areas, from initial concept sketching to post-launch analysis and iteration.

• Design intuitive and effective conversational flows for chat-based and voice interfaces, addressing aspects like multi-turn dialogue, context management, error handling, and graceful fallbacks.

• Craft, test, and iterate on prompts and system instructions to guide AI-generated content, ensuring a balance of tone, accuracy, brevity, and safety.

• Partner with Machine Learning (ML) and Artificial Intelligence (AI) engineers to critically evaluate model outputs for clarity, bias, and potential risks, establishing feedback loops for continuous improvement.

• Develop and maintain a robust content design system, including content patterns, voice and tone guidelines, and standards for both static UI copy and dynamic/AI-generated content.

• Collaborate effectively with Product Managers, Designers, and Researchers throughout the product development lifecycle, advocating for user needs related to clarity and usability.

• Utilize qualitative research findings and quantitative metrics (e.g., task success rates, user drop-off, CSAT, AI containment rates) to inform and validate content design decisions.

• Provide mentorship and elevate the work of junior content designers and other writers through constructive feedback and guidance.

• Champion the principles of accessible, inclusive, and plain-language content across all product touchpoints.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX writing and cutting-edge AI content development, emphasizing the need for a candidate who can bridge these two domains. The explicit mention of metrics like "CSAT" and "containment rate" points to a data-driven approach to content design.

🎓 Skills & Qualifications

Education: Bachelor's degree in English, Communications, HCI, Design, or a related field, or equivalent practical experience.

Experience:

• Minimum of 5 years of professional experience in content design, UX writing, or a closely related field.

• At least 1-2 years of direct experience working with conversational interfaces (chatbots, voice assistants, AI agents) or generative AI features. Required Skills:

• Conversational Design: Proven experience designing chatbot, voice assistant, or AI agent flows, demonstrating understanding of turn-taking, context handling, and failure states.

• Prompt Engineering: Hands-on experience writing and refining prompts or system instructions for Large Language Model (LLM)-powered features, with the ability to articulate how prompt structure impacts output tone, reliability, and safety.

• Systems Thinking: Ability to design individual content elements while simultaneously considering scalable patterns and content systems.

• Cross-functional Collaboration: Demonstrated experience working effectively with Product, Design, Engineering (especially AI/ML), and Research teams in fast-paced, ambiguous environments.

• Content Craft: Excellent editing skills, a keen ear for voice, tone, and plain language, and a strong command of grammar and style.

• User Advocacy: Ability to represent user needs for clarity and usability in all product decisions.

• Data-Informed Design: Experience using qualitative research insights and quantitative metrics to inform and defend content decisions.

• Accessibility & Inclusion: Familiarity with accessibility standards (e.g., WCAG) and inclusive writing practices.

Preferred Skills:

• Experience building a conversational design system or an AI content style guide from scratch.

• Familiarity with agentic or Retrieval-Augmented Generation (RAG)-based product patterns, multi-modal AI experiences, or evaluation frameworks for generative content.

• Background in linguistics, taxonomy, or information architecture.

• Prior experience shipping AI features within a B2B SaaS, Martech, or AI-focused company.

📝 Enhancement Note: The emphasis on "at least one project involving conversational or generative AI content" in the portfolio, combined with specific experience requirements, indicates a strong preference for candidates with direct, demonstrable experience in the AI content space. The "Nice to Have" section provides clear pathways for candidates to differentiate themselves.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a strong foundation in traditional UX writing and content design principles.

• At least one significant project demonstrating hands-on experience with conversational AI (e.g., chatbot flows, voice interactions) or generative AI content (e.g., prompt engineering, AI-generated text refinement).

• Case studies that clearly articulate the problem, your role, the design process, content solutions, and measurable outcomes.

• Examples of how you've used user research and data to inform and iterate on content decisions.

• Demonstrations of systems thinking, such as the creation or contribution to content patterns, style guides, or design systems. Process Documentation:

• Evidence of defining and documenting content design processes, including user flows, content matrices, and style guides.

• Examples of how you've collaborated with AI/ML teams, potentially including documentation of prompt refinement, evaluation of model outputs, or feedback loops.

• Documentation of how you've measured the success of content initiatives, particularly for AI-driven features (e.g., containment rates, user satisfaction with AI responses).

📝 Enhancement Note: The portfolio requirement is critical, with a specific demand for AI-related projects. Candidates should be prepared to detail their process for working with AI models, including prompt engineering and evaluation of outputs, as this is a key differentiator for this role.

💵 Compensation & Benefits

Salary Range:

• Bengaluru, India: Based on industry benchmarks for Senior Content Designers in the Indian IT sector, the estimated salary range is ₹12,00,000 - ₹25,00,000 per annum, depending on experience, skills, and negotiation.

• Pune, India: Similar to Bengaluru, the estimated range is ₹11,00,000 - ₹24,00,000 per annum, factoring in local market conditions and cost of living.

Benefits:

• Comprehensive health coverage.

• Paid parental leave.

• Generous paid time-off and holidays.

• Quarterly self-care days off.

• Stock options.

• Access to LinkedIn Learning platform for continuous professional development.

• Quarterly wellness education sessions to encourage self-care and personal growth.

• Support for necessary equipment and resources for effective work. Working Hours:

• Standard full-time employment, likely around 40 hours per week, with flexibility expected in a fast-paced tech environment.

📝 Enhancement Note: Salary ranges provided are estimates based on general market data for senior-level design roles in these specific Indian tech hubs. Actual compensation will be determined by 6sense based on the candidate's qualifications, experience, and alignment with the role's specific requirements, including their AI content expertise.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, specifically B2B SaaS, with a strong focus on Artificial Intelligence, Machine Learning, and Marketing Technology (Martech).

Company Size: 6sense is a well-established, growing company, likely falling into the 500-1000+ employee range based on typical Greenhouse postings for senior roles. This size indicates a mature organization with established processes but still retaining agility.

Founded: 6sense was founded in 2013. This provides a decade of experience in the market, indicating stability and a proven track record in developing sophisticated B2B technology solutions.

Team Structure:

• The Sr. Content Designer will likely be part of a larger Product or Design organization.

• They will collaborate closely with Product Managers, UX Designers, UX Researchers, and AI/ML Engineers, forming cross-functional product teams.

• There may be a dedicated Content Design team or a distributed model where content designers are embedded within product squads.

• The role involves mentoring junior designers, suggesting a potential for leadership within a content discipline. Methodology:

• Data-Driven Decision Making: The company emphasizes using qualitative research and quantitative metrics to inform product and content decisions.

• Agile Development: The mention of a "fast-moving, ambiguous product environment" suggests an agile development methodology.

• Systems Approach: A strong focus on building scalable content patterns and design systems indicates a commitment to consistency and efficiency.

• AI/ML Integration: Close partnership with AI/ML teams signifies a forward-thinking approach to product development, leveraging advanced technologies.

Company Website: https://6sense.com/

📝 Enhancement Note: 6sense operates in the competitive Martech and AI space, requiring a culture that values innovation, data-driven insights, and strong cross-functional collaboration. The company's mission to "multiply what matters: growth, retention, and efficiency" reflects a business outcome-oriented approach that content designers will need to support.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior individual contributor role. It signifies a high level of expertise and autonomy, with expectations for strategic input and mentorship. The focus on AI and conversational design places it at the forefront of current UX trends.

Reporting Structure: The Sr. Content Designer will likely report to a Lead Content Designer, Head of Content Design, Director of Product Design, or a similar leadership role within the product or design organization. They will work within cross-functional product teams, reporting functionally to their design leadership and project-wise to product leads.

Operations Impact: The Sr. Content Designer's work directly impacts user experience, product adoption, customer satisfaction, and potentially operational efficiency through clearer interfaces and effective AI interactions. By crafting clear, useful, and on-brand content, they contribute to user success, retention, and the overall perceived value of the 6sense platform. In AI contexts, effective content design can significantly influence user trust, task completion rates, and the efficiency of AI-driven workflows.

Growth Opportunities:

• Leadership: Potential to grow into a Lead Content Designer or Manager role, overseeing a team and setting content strategy.

• Specialization: Deepen expertise in conversational design, prompt engineering, and AI content strategy, becoming a subject matter expert in a high-demand field.

• Cross-functional Influence: Expand influence across product strategy and development processes, contributing to how 6sense integrates AI into its offerings.

• System Building: Lead the development and evolution of content design systems and AI content guidelines.

• Mentorship: Formalize mentorship of junior designers, developing leadership and coaching skills.

📝 Enhancement Note: This role is positioned for significant impact and offers substantial growth potential, particularly for individuals interested in the intersection of UX design and cutting-edge AI technologies. The "Sr." title implies an expectation of proactive contribution to team processes and strategic direction.

🌐 Work Environment

Office Type: The job is listed as on-site, indicating a traditional office-based work environment within 6sense's Bengaluru or Pune locations. This suggests a focus on in-person collaboration, team building, and access to office resources.

Office Location(s):

• Bengaluru, Karnataka, India

• Pune, Maharashtra, India Workspace Context:

• Collaborative Environment: The on-site nature suggests a workspace designed for team interaction, brainstorming sessions, and spontaneous discussions, which are crucial for design work.

• Tools and Technology: Employees will have access to company-provided hardware, software, and potentially specialized AI/ML development tools or LLM playgrounds relevant to the role.

• Team Interaction: Regular opportunities to interact with product, design, research, and engineering colleagues, fostering a cohesive team dynamic.

Work Schedule: Standard business hours are expected, likely aligning with Indian Standard Time (IST). Flexibility might be available, but the on-site requirement implies a commitment to being present in the office during core working hours.

📝 Enhancement Note: The on-site requirement for this role in Bengaluru and Pune suggests that 6sense values the benefits of in-person collaboration for complex design and AI development work. Candidates should be prepared for a structured office environment.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A brief call with a recruiter to assess basic qualifications, experience, and cultural fit.

2. Hiring Manager Interview: A deeper dive into your experience, focusing on your approach to content design, conversational AI, and prompt engineering. Expect questions about your portfolio.

3. Portfolio Review & Design Exercise: A session where you present your portfolio, highlighting relevant AI and conversational design projects. This may be followed by a take-home design exercise or a live collaborative design challenge focusing on a product problem.

4. Cross-functional Interviews: Interviews with Product Managers, Designers, or AI/ML Engineers to assess collaboration skills, technical understanding, and how you operate within a team.

5. Final Interview: Potentially with a senior leader (e.g., Head of Product, VP of Design) to discuss strategic alignment, leadership potential, and overall fit.

Portfolio Review Tips:

• Highlight AI/Conversational Projects: Dedicate significant time to showcasing your work in conversational design and prompt engineering. Detail the specific challenges, your creative solutions, and the outcomes.

• Demonstrate Process: Clearly articulate your end-to-end design process, emphasizing how you gather requirements, conduct research, iterate on content, and measure success.

• Showcase Systems Thinking: Include examples of how you've created scalable content patterns, style guides, or contributed to design systems.

• Quantify Impact: Whenever possible, use metrics to demonstrate the effectiveness of your content (e.g., improved task completion, reduced support tickets, higher user satisfaction with AI features).

• Explain Prompt Engineering: Be prepared to discuss your approach to prompt design, including how you test prompts, refine them based on LLM output, and consider factors like tone, accuracy, and safety.

Challenge Preparation:

• Understand the Product: Research 6sense's platform and its target audience (B2B SaaS, Martech).

• AI/Conversational Focus: Anticipate challenges related to designing AI interactions, writing effective prompts, or improving the clarity of AI-generated content.

• Systems Thinking Practice: Be ready to discuss how you would approach designing a scalable content pattern or a new component for a design system.

• Collaboration Scenarios: Prepare examples of how you've successfully collaborated with engineers, PMs, and researchers, especially in ambiguous situations.

📝 Enhancement Note: The interview process is structured to assess both deep craft skills in content design and specialized expertise in AI/conversational interfaces. A strong portfolio showcasing relevant AI experience is paramount for success.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (or similar design tools like Sketch, Adobe XD).

• Content Design/Collaboration: Ditto (or similar platforms like Contentsquare, Phrase, Lokalise) for managing content, collaboration, and potentially localization workflows.

• LLM Playgrounds/Consoles: Experience with platforms like Claude, ChatGPT, Bard, or specific cloud provider AI interfaces for testing prompts and evaluating model outputs.

• Content Management Systems (CMS): Familiarity with CMS platforms may be beneficial for managing static UI content.

Analytics & Reporting:

• Product Analytics Tools: Tools like Amplitude, Mixpanel, or Google Analytics to track user behavior, task success rates, and feature adoption.

• User Feedback Platforms: Tools for collecting CSAT, NPS, and qualitative feedback.

• Data Visualization Tools: Potentially Tableau, Power BI, or internal dashboards for analyzing metrics.

CRM & Automation:

• CRM: While not directly a tool the content designer will manage, familiarity with CRM systems (like Salesforce) is beneficial given the B2B SaaS context.

• Collaboration & Project Management: Tools like Jira, Asana, Trello, Confluence for workflow management and documentation.

📝 Enhancement Note: Proficiency with Figma is standard for design roles. The specific mention of Ditto and LLM playgrounds indicates a need for hands-on experience with modern content operations and AI development tools. Understanding how content integrates with AI models is a key technical requirement.

👥 Team Culture & Values

Operations Values:

• Win as One Team: Emphasizes collaboration, shared goals, and supporting colleagues across functions. Content designers are expected to be team players.

• Stay Curious: Encourages continuous learning, exploration of new technologies (like AI), and a proactive approach to understanding user needs and industry trends.

• Do The Right Thing: Upholds integrity, ethical practices, and a commitment to user well-being and product quality. This is particularly relevant for AI content, where bias and safety are critical considerations.

• Own the Outcome: Fosters accountability and a results-oriented mindset. Content designers are expected to take ownership of their work and drive it to successful completion and measurable impact.

• Create Belonging: Promotes an inclusive environment where diverse perspectives are valued. Content designers should advocate for inclusive language and accessible design.

Collaboration Style:

• Cross-functional Integration: Highly collaborative with Product, Design, Engineering, and Research teams, working as a cohesive unit to deliver user-centric products.

• Feedback-Driven: Open to constructive feedback on content and design, actively participating in design critiques and iteration cycles.

• Systems-Oriented: Values a structured approach to content, aiming for consistency, scalability, and maintainability through design systems and patterns.

• Data-Informed: Decisions are backed by research and data, encouraging a rational and evidence-based approach to problem-solving.

📝 Enhancement Note: The "Being 6sense" values are integral to the company culture. Candidates should be prepared to discuss how their work and approach align with these principles, especially "Stay Curious" (for AI) and "Create Belonging" (for inclusive language).

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: Working in a fast-paced, evolving product environment, especially with new AI technologies, can present ambiguity. Candidates need to be comfortable defining problems and solutions.

• Balancing AI Capabilities with User Needs: Ensuring AI-generated content is not only functional but also clear, trustworthy, and aligned with user expectations requires careful design and iteration.

• Rapidly Evolving AI Landscape: Keeping up with the fast pace of AI advancements, new LLM capabilities, and evolving best practices in prompt engineering and conversational design.

• Cross-functional Alignment: Effectively communicating complex content design decisions and AI-related considerations to diverse stakeholders with varying technical backgrounds.

• Measuring AI Content Effectiveness: Developing robust metrics and feedback loops to accurately assess the performance and impact of AI-driven content experiences.

Learning & Development Opportunities:

• AI Content Specialization: Deepen expertise in prompt engineering, conversational AI design, and generative AI content strategy.

• System Design: Contribute to and lead the development of sophisticated content design systems and AI content guidelines.

• Mentorship & Leadership: Develop leadership skills through mentoring junior designers and potentially leading content initiatives.

• Industry Exposure: Gain experience in the competitive Martech and AI SaaS space, working with cutting-edge technology.

• Continuous Learning: Access to LinkedIn Learning and internal development initiatives provides opportunities for skill enhancement across various domains.

📝 Enhancement Note: The role presents significant challenges related to the novelty and rapid evolution of AI technologies, but these are also the primary drivers for growth and learning opportunities within the position.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed a conversational flow. What were the key considerations, and how did you handle potential failure states or misunderstandings?"

• "Walk us through a project where you engineered prompts for an LLM. How did you iterate on prompts to achieve a specific tone, accuracy, or safety level?"

• "How do you balance the need for concise UI copy with the nuances required for conversational AI interactions?"

• "Imagine you're designing content for an AI feature that sometimes 'hallucinates' or provides inaccurate information. How would you approach designing the user experience and content to mitigate this risk?"

• "How would you build a content design system that accounts for both static UI copy and dynamic, AI-generated content?" Company & Culture Questions:

• "How do 6sense's 'Being 6sense' values resonate with your work style and philosophy?"

• "Describe your experience working in a fast-paced, cross-functional product team. How do you handle ambiguity?"

• "How do you advocate for user needs, especially clarity and accessibility, when faced with technical constraints or differing opinions?"

• "What are your thoughts on the future of AI in B2B SaaS products, and how do you see content design playing a role?" Portfolio Presentation Strategy:

• Structure: Organize your portfolio by project, clearly outlining the problem, your specific role, the design process, your content solutions (especially AI/conversational examples), and the measurable outcomes.

• Narrative: Tell a compelling story for each project. Explain your thought process, the trade-offs you made, and why you chose certain solutions.

• AI Focus: Ensure your AI/conversational projects are front and center. Be ready to demo flows, explain prompt structures, and discuss your evaluation criteria for AI outputs.

• Systems Thinking: Clearly demonstrate how you think about scalability and consistency. Show examples of patterns, guidelines, or system contributions.

• Conciseness: Be mindful of time. Prepare to present key highlights efficiently, allowing time for Q&A.

📝 Enhancement Note: Be prepared to discuss your experience with prompt engineering and conversational design in detail, using specific examples from your portfolio. The interviewers will be looking for a blend of strong UX craft and specialized AI content skills.

📌 Application Steps

To apply for this Sr. Content Designer position:

• Submit your application through the provided Greenhouse link.

• Portfolio Customization: Tailor your portfolio to prominently feature your strongest examples of conversational AI design and prompt engineering. Clearly articulate your process and impact for these projects.

• Resume Optimization: Ensure your resume highlights your 5+ years of content design/UX writing experience, specifically mentioning your work with AI, conversational interfaces, and cross-functional collaboration. Use keywords from the job description.

• Interview Preparation: Practice articulating your experience with prompt engineering, systems thinking, and user advocacy. Prepare to present your portfolio effectively, focusing on your contributions and the outcomes of your work.

• Company Research: Thoroughly research 6sense's mission, products, and the "Being 6sense" values. Understand their position in the Martech and AI landscape.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions. The specific tools mentioned (Ditto, LLM playgrounds) are key indicators of the required technical proficiency.